Disinfection device

Abstract

The invention relates to the technical field of large internal medicine clinic, and particularly discloses a disinfection device which is used for solving existing problems and comprises a disinfection main body, the disinfection main body comprises an instrument recognition module, a liquid disinfection tank and an ultrasonic module located in the liquid disinfection tank, and the other side of the ultrasonic module is connected with a temperature adjusting module. The temperature adjusting module is connected with a temperature sensor, a gas disinfection bin is arranged on one side of the liquid disinfection tank, an instrument recognition module is arranged between the liquid disinfection tank and the gas disinfection bin and connected with a data processing unit, the data processing unit is connected with a fault analysis module, and the gas disinfection bin comprises a bin cover, a bin body and an airflow adjusting module. The liquid disinfection tank is connected with a disinfectant supply system and a disinfectant circulating system; by intelligently adjusting the flow rate of the disinfectant and the flow rate of gas, the device automatically adapts to the disinfection requirements of cardiology instruments, optimizes the disinfection efficiency, monitors and adjusts the temperature, the concentration and the flow rate of the disinfectant in real time, and ensures the cyclic utilization of the disinfectant.

Description

Technical Field

[0001] The present invention relates to the technical field of general internal medicine clinical technology. More specifically, the present invention relates to a disinfection device. Background Art

[0002] In the Chinese invention patent "An Efficient Disinfection Device for General Internal Medicine Clinical Use" with the application number 2023113509517, improvements were made to the defects that the position of the stirring rod in the disinfection equipment for cardiovascular medicine clinical surgical instruments was fixed, resulting in the inability to thoroughly disinfect the clinical instruments in the dead corners of the disinfection tank and low disinfection efficiency. The device proposed in the application was used to replace the traditional fixed-position stirring rod, which could disinfect the instruments at different positions in the device and could fully recycle the disinfectant solution. It had a convenient step-by-step assembly function and was also convenient for independent maintenance and internal obstacle-free cleaning of each part. However, there were still some deficiencies. It could not adaptively adjust the disinfection mode according to the use scenarios and disinfection requirements of cardiovascular medicine clinical surgical instruments. For wet-resistant metal instruments such as scissors, pliers, and needle holders, chemical disinfectants could be used for immersion disinfection, and thorough cleaning was required after disinfection to remove residues. For guide wires, balloon catheters, etc., which needed to be quickly turned around after use, the liquid disinfection method had a high processing efficiency and could meet the demand for rapid reuse. At the same time, for catheter-like instruments that were intolerant to disinfection gas, liquid disinfection was applicable. However, for heat-sensitive instruments such as intracardiac electrode tubes and ultrasonic probes, they could not withstand high-temperature liquid treatment and were more suitable for ethylene oxide (EO) gas disinfection. For instruments with complex structures (endoscopes, laparoscopic instruments), it was difficult to clean the inside, and gas disinfection could ensure thorough disinfection. For implantable instruments (heart valves, pacemaker components), a very high disinfection level was required, and gas disinfection could avoid material damage and ensure sterility. It could not perform precise disinfection, and at the same time, it could not perform self-diagnosis and alarm for faults, and could not timely detect and solve problems to ensure the normal operation of the device. Summary of the Invention

[0003] In order to overcome the above-mentioned defects of the prior art, the present invention provides a disinfection device that automatically adapts to the disinfection requirements of cardiovascular medicine instruments by intelligently adjusting the flow rate of the disinfectant solution and the gas flow rate, optimizes the disinfection efficiency, and real-time monitors and adjusts the temperature, concentration, and flow rate of the disinfectant solution to ensure the recycling of the disinfectant solution and reduce resource waste. Through continuous feedback adjustment, the disinfection effect and quality are improved, the safety of the instruments is ensured, and the high-standard disinfection requirements are met.

[0004] Disinfection devices are particularly necessary for the disinfection of high-risk cardiovascular surgical instruments. Especially in complex surgical environments, for instruments used in high-precision operations such as coronary artery intervention, pacemaker implantation, and cardiac valve surgery, such as guidewires, balloon catheters, forceps, scissors, needle holders, etc., the disinfection equipment is required not only to ensure the thorough elimination of all pathogenic microorganisms, but also to effectively avoid any residual disinfectant on the operating instruments, so as to avoid harm to the health of patients. In addition, due to different materials, complex structures, and frequent use of these instruments, traditional disinfection methods often cannot fully clean the dead corners or are unevenly covered by the disinfectant, resulting in unstable disinfection effects and even affecting the safety and success rate of the surgery. In a hospital environment with high frequency and rapid turnover, the disinfection equipment not only needs to have efficient and rapid disinfection capabilities, but also needs to support multi-mode automatic adjustment. According to factors such as the material of the instrument, disinfection method, type of disinfectant, and time, it automatically adjusts the disinfection mode to ensure efficient disinfection and reduce the risk of cross-infection, so as to meet the high-standard cleaning and disinfection requirements of modern hospitals and strict medical safety specifications, especially to meet the changing clinical operation needs and the rapid response needs in emergency situations. The cardiovascular department is particularly in urgent need of such a multi-mode automatic adjustment disinfection device.

[0005] In view of the above-mentioned application scenarios and to achieve the above technical objectives, the present invention proposes the following technical solutions:

[0006] A disinfection device includes a disinfection main body, which comprises an instrument identification module, a liquid disinfection tank, and an ultrasonic module located in the liquid disinfection tank. On the other side of the ultrasonic module, there is a temperature regulation module connected to a temperature sensor. On one side of the liquid disinfection tank, there is a gas disinfection chamber. Between the liquid disinfection tank and the gas disinfection chamber, there is an instrument identification module, which is connected to a data processing unit. The data processing unit is connected to a fault analysis module. The gas disinfection chamber includes a chamber lid, a chamber body, and an air flow regulation module. The liquid disinfection tank is connected to a disinfectant supply system and a disinfectant circulation system. The instrument identification module identifies the types and quantities of instruments to be disinfected based on RFID technology and transmits the data to the data processing unit. The data processing unit retrieves and outputs the disinfection methods and disinfection conditions of the identified instruments according to a preset knowledge base of cardiovascular medical instruments, and counts the number of instruments for each disinfection method. The disinfectant supply system automatically adjusts the disinfectant supply flow according to the number of instruments that need liquid disinfection. The temperature regulation module adaptively adjusts the heating power according to the disinfection conditions of the instruments that need liquid disinfection. The air flow regulation module automatically adjusts the output frequency according to the number of instruments that need gas disinfection. The fault analysis module identifies faults based on a preset fault rule base and proposes recommended adjustment measures, outputs the fault scores of each parameter based on real-time data and deviation amounts, outputs the fault trend risk score based on the parameter change rate, outputs the fault coupling score based on a fuzzy logic model, and evaluates the fault severity score of the disinfection main body using the weighted sum of the fault scores, fault trend risk scores, and fault coupling scores of each parameter. The formula for the fault severity score is:

[0007]

[0008] In the formula: S is the fault severity score, i is the parameter index, n is the total number of parameters, ω i is the weight of the i-th fault parameter, determined by the analytic hierarchy process, F i is the fault score of the i-th parameter, obtained based on real-time data and deviation amounts, T risk is the fault trend risk score, obtained based on the parameter change rate, P interdep is the fault coupling score, obtained through analysis based on a fuzzy logic model. α and β are the fault trend influence factor and the fault coupling influence factor respectively, obtained by fitting experimental data.

[0009] As a further solution of the present invention, the disinfectant supply system adjusts the adjusted disinfectant supply flow based on the unit liquid demand coefficient of the identified instruments retrieved and output according to the knowledge base of cardiovascular medical instruments, the number of instruments, and the standard circulation time for each liquid disinfection, and obtains the adjusted disinfectant supply flow based on the loss flow of the disinfectant in the circulation system. The formula for the adjusted disinfectant supply flow is:

[0010]

[0011] Where: Q is the adjusted supply flow rate of the disinfectant solution, j is the number of cardiovascular medical devices that require liquid disinfection, C j is the unit liquid demand coefficient of the j-th type of device, m is the total number of cardiovascular medical devices that require liquid disinfection, obtained by retrieving from the cardiovascular medical device knowledge base, V j is the quantity of the j-th type of device, obtained by the RFID identification module, t cycle is the standard cycle time for each liquid disinfection, obtained by retrieving from the cardiovascular medical device knowledge base, Q loss is the loss flow rate of the disinfectant solution in the circulation system, which is an experimentally calibrated value.

[0012] As a further solution of the present invention, in the temperature adjustment module, the heating power is dynamically adjusted according to the liquid disinfection requirements of the devices and the temperature variable of the actual disinfection tank. The adjustment formula for the heating power is:

[0013]

[0014] Where: P heat is the heating power of the temperature adjustment module, M is the total mass of the current disinfectant solution in the disinfection tank, obtained by calculating according to the liquid volume and disinfectant solution density in the current disinfection tank, C p is the specific heat capacity of the disinfectant solution, determined by experiment, T target is the target temperature of the disinfection tank set according to the current disinfection requirements, obtained by retrieving from the cardiovascular medical device knowledge base, T current is the real-time temperature of the current disinfection tank liquid, monitored by the temperature sensor, η is the heating efficiency, obtained by experimental calibration, t heat is the time required to reach the target temperature, set according to the disinfection process.

[0015] As a further solution of the present invention, in the air flow adjustment module, the circulation speed of the disinfection gas in the gas disinfection chamber is adaptively adjusted according to the number of devices that require gas disinfection, the target disinfection concentration, the equipment solvent, and the disinfection time. The adjustment formula for the output frequency of the gas adjustment module is:

[0016]

[0017] Where: f is the output frequency of the air flow adjustment module, used to adjust the circulation speed of the disinfection gas, k is the index of the device that requires gas disinfection, h is the total number of devices that require gas disinfection, C k is the unit gas demand concentration coefficient of the k-th device that requires gas disinfection, V k is the quantity of the k-th device that requires gas disinfection, obtained by the device identification module, σ is the air flow adjustment efficiency, preset by the equipment, V effis the effective volume of the gas disinfection chamber, which is set according to the design parameters of the gas disinfection chamber, t dis is the target disinfection time, which is obtained by retrieving the knowledge base of cardiovascular medical devices.

[0018] As a further solution of the present invention, in the fault analysis module, the fault score of the i-th parameter is obtained according to the factual data deviation and the fault rule base, and is represented by the degree of deviation of the parameter from the set value in the current state. The formula for the fault score of the i-th parameter is:

[0019]

[0020] In the formula: x i is the real-time monitoring value of the i-th parameter, is the reference value for the normal operation of the i-th parameter, which is obtained through the fault rule base, are the allowable maximum value and the allowable minimum value of the i-th parameter respectively, which are obtained through the fault rule base.

[0021] As a further solution of the present invention, in the fault analysis module, the fault trend risk score combines the change rate, change amplitude and potential impact of the fault parameter to warn of the fault trend risk. The fault trend risk formula is:

[0022]

[0023] In the formula: Δt is the duration of the observation window, Δx i is the change amount of the i-th parameter within the observation window duration Δt, γ i is the impact factor of the i-th parameter fault, which is set by expert experience, γ max is the maximum impact factor of the i-th parameter fault, which is obtained by machine learning based on actual production data.

[0024] As a further solution of the present invention, in the fault analysis module, the fault coupling score evaluates the potential coupling risk of the fault by analyzing the correlation relationship between parameters. The formula for the fault coupling score is:

[0025]

[0026] In the formula: l is the fault analysis parameter index of the non-i-th parameter, μ il is the coupling weight between the i-th parameter and the l-th parameter, which is obtained from the coupling weight matrix determined based on the monitoring data, F l is the fault score of the l-th parameter.

[0027] As a further solution of the present invention, in the data processing unit, the process of retrieving the preset knowledge base of cardiovascular medical devices to obtain the device disinfection method and conditions is as follows:

[0028] Step 11, Data collection and identification: The device identification module reads the RFID tag data of the device and identifies it;

[0029] Step 12, Device classification and matching: Receive the RFID tag data of the device, match the corresponding disinfection method according to the type and material of the device, and obtain the required disinfectant concentration, disinfectant temperature, and gas disinfection concentration according to the disinfection method;

[0030] Step 13, Count the number of devices: Count the number of devices under each disinfection method and transmit the data to the disinfectant supply system, temperature adjustment module, air flow adjustment module, and fault analysis module.

[0031] As a further solution of the present invention, in the fault analysis module, the fault rule base includes but is not limited to fault diagnosis rules, fault type classification, fault impact assessment, fault repair and warning strategies, and multi-parameter coupling rules. The fault analysis parameters include but are not limited to the temperature of the disinfectant and disinfection gas, the pressure of the gas disinfection chamber, the flow rate and circulation volume of the disinfectant, the current and voltage of the electrical equipment included in each component, the data of the temperature sensor, and the operation duration.

[0032] As a further solution of the present invention, in the fault analysis module, the process of obtaining the fault coupling score based on the fuzzy logic model analysis includes:

[0033] Step 21, Input parameter definition: Predetermine and collect the real-time data of the fault parameters in the system and their coupling relationships;

[0034] Step 22, Fuzzification: Convert the numerical value of each fault parameter into a fuzzy variable, map the numerical value of the fault parameter to the corresponding fuzzy set using the membership function of the fault parameter, and map the coupling relationship to the fuzzy set using the technical function of the coupling relationship;

[0035] Step 23, Fuzzy inference: Through the fuzzy inference mechanism, infer the input fuzzy data and the rule base to obtain the coupling score;

[0036] Step 24, Defuzzification: Convert the fuzzy inference result into a specific numerical score using the weighted average method;

[0037] Step 25, Output result: Output the fault coupling score with a numerical range between [0, 1].

[0038] To solve the technical problems, the technical effects of a disinfection device proposed by the present invention are as follows: By intelligently adjusting the circulation flow rate of the disinfectant solution and the flow rate of the disinfection gas, the present invention can automatically adapt to the materials and disinfection requirements of different instruments, thereby greatly improving the disinfection efficiency, ensuring the comprehensiveness and effectiveness of disinfection coverage, and being able to monitor the disinfection process in real time, avoiding the residue and reuse of the disinfectant solution, improving the utilization efficiency of the disinfectant solution, reducing resource waste, based on the principles of physical fluid dynamics and the disinfectant distribution model, combined with the specific characteristics of cardiovascular medicine instruments, automatically adjusting the disinfection mode according to the instrument type and disinfection requirements, making the disinfection process more intelligent and personalized, through continuous monitoring and data feedback of the disinfection process, being able to evaluate the disinfection effect in real time during the disinfection process, automatically adjusting parameters to maximize the disinfection efficiency, and ensuring the recycling of the disinfectant solution, being able to adaptively adjust the temperature and concentration of the disinfectant solution according to the actual operating environment to meet the requirements under different disinfection conditions, improving the flexibility and efficiency of the entire disinfection process, through intelligent control, the disinfection device can achieve precise, personalized and efficient operation, significantly improving the safety, reliability and maintainability of the disinfection of cardiovascular surgery instruments, and further promoting the modernization and intelligentization of hospital infection control technology. BRIEF DESCRIPTION OF THE DRAWINGS

[0039] Figure 1 It is a block diagram of the components of a disinfection device of the present invention;

[0040] Figure 2 It is a flowchart for the present invention to retrieve the knowledge base of cardiovascular medical devices preset to obtain the disinfection methods and conditions of the instruments;

[0041] Figure 3 It is a flowchart for the present invention to analyze and obtain the fault coupling score based on the fuzzy logic model. DETAILED DESCRIPTION OF THE INVENTION

[0042] Next, the technical solutions in the present invention will be clearly and completely described in conjunction with the drawings in the present invention. Obviously, the described technical solutions are only a part of the present invention, rather than all of them. Based on the technical solutions in the present invention, all other solutions obtained by those of ordinary skill in the art without making creative efforts fall within the protection scope of the present invention.

[0043] Such as Figure 1As shown in the figure, a disinfection device proposed by the present invention includes a disinfection main body, which includes a device identification module, a liquid disinfection tank, and an ultrasonic module located in the liquid disinfection tank. The ultrasonic module performs ultrasonic vibration on the liquid in the liquid disinfection tank to enhance the cleaning strength of disinfection, improve the disinfection effect, and remove the residues attached to the surface of the device. On the other side of the ultrasonic module, there is a temperature adjustment module, which is connected to a temperature sensor. On one side of the liquid disinfection tank, there is a gas disinfection chamber. Between the liquid disinfection tank and the gas disinfection chamber, there is a device identification module, which is connected to a data processing unit. The data processing unit is connected to a fault analysis module. The gas disinfection chamber includes a chamber cover, a chamber body, and an air flow adjustment module. After the chamber cover and the chamber body are hermetically connected, they are used to form a closed disinfection environment for the gas disinfection chamber. The liquid disinfection tank is connected to a disinfectant supply system and a disinfectant circulation system, which are respectively used to provide the supply of disinfectant and provide a circulation space and power for the circulation of the disinfectant to enhance the flow of the disinfectant to achieve a better disinfection effect of the disinfectant. The device identification module identifies the types and numbers of devices to be disinfected based on RFID technology and transmits the data to the data processing unit. The data processing unit retrieves and outputs the disinfection methods and disinfection conditions of the identified devices according to a preset knowledge base of cardiovascular medical devices, and counts the number of devices for each disinfection method. The disinfectant supply system automatically adjusts the disinfectant supply flow according to the number of devices that need to be disinfected in the liquid. The temperature adjustment module adaptively adjusts the heating power according to the disinfection conditions of the devices that need to be disinfected in the liquid. The air flow adjustment module automatically adjusts the output frequency according to the number of devices that need to be disinfected in the gas. The fault analysis module identifies faults and proposes recommended adjustment measures based on a preset fault rule base, outputs the fault scores of each parameter based on real-time data and deviation amounts, outputs the fault trend risk score based on the parameter change rate, outputs the fault coupling score based on a fuzzy logic model, and evaluates the fault severity score of the disinfection main body using the weighted sum of the fault scores, fault trend risk scores, and fault coupling scores of each parameter. The formula for the fault severity score is:

[0044]

[0045] In the formula: S is the fault severity score, i is the parameter index, n is the total number of parameters, ω i is the weight of the i-th fault parameter, determined by the analytic hierarchy process, F i is the fault score of the i-th parameter, obtained based on real-time data and deviation amounts, T risk is the fault trend risk score, obtained based on the parameter change rate, P interdep is the fault coupling score, obtained by analyzing based on a fuzzy logic model, and α and β are the fault trend influence factor and the fault coupling influence factor, respectively, obtained by fitting according to experimental data.

[0046] Through intelligent instrument identification and adaptive disinfection mode adjustment, this device can select the most suitable disinfection method according to the material, structure and disinfection requirements of different types of cardiovascular medicine clinical surgical instruments, thus realizing an efficient and precise disinfection process. First, the instrument is identified through RFID technology. Combined with the intelligent analysis of the data processing unit, it can automatically adjust the disinfection mode according to the instrument type, material and disinfection requirements without manual intervention, improving the disinfection efficiency and reducing human errors. Second, for different types of instruments, such as moisture-resistant metal instruments, heat-sensitive instruments, instruments with complex structures, etc., various methods such as liquid disinfection and chemical disinfection are adopted respectively to ensure that each instrument is processed under its optimal disinfection conditions, ensuring both the thoroughness of disinfection and avoiding instrument damage caused by improper disinfection. Especially for the instruments that need to be quickly turned around in cardiovascular medicine, the liquid disinfection mode can complete the disinfection in a short time, meeting the requirements of high-efficiency reuse. Overall, this disinfection device can, through intelligent, automated and precise disinfection methods, not only improve the disinfection efficiency and instrument safety, but also significantly reduce the human factors in the disinfection process, improve the disinfection quality, and provide a reliable guarantee for the recycling of cardiovascular medicine surgical instruments.

[0047] It should be noted that in the fault analysis module, the fault score of the i-th parameter is obtained based on the factual data deviation and the fault rule base, and is represented by the degree to which this parameter deviates from the set value in the current state. The formula for the fault score of the i-th parameter is:

[0048]

[0049] In the formula: x i is the real-time monitoring value of the i-th parameter, is the reference value for the normal operation of the i-th parameter, obtained through the fault rule base, are the allowable maximum value and the allowable minimum value of the i-th parameter respectively, obtained through the fault rule base.

[0050] This fault scoring method can accurately evaluate the fault condition of the equipment during operation by monitoring the deviation between the real-time parameter and the reference value and combining the allowable value range. By comparing the real-time data of each parameter, the fault score is calculated, and the abnormal fluctuations during the equipment operation can be detected in time. Further analysis is carried out through the fault rule base, which can effectively improve the fault diagnosis ability, accurately locate the fault source, reduce misjudgment and missed judgment, ensure that the disinfection device always maintains a safe and efficient state during the working process, avoid the disinfection effect not meeting the standard or equipment damage caused by equipment failure, and finally realize intelligent and automated fault detection and processing, improving the reliability and stability of the equipment.

[0051] It should be noted that in the fault analysis module, the fault trend risk score combines the change rate, change amplitude of fault parameters and the potential impact of faults to warn of the fault trend risk. The formula for the fault trend risk is as follows:

[0052]

[0053] In the formula: Δt is the duration of the observation time window, and Δx i is the change amount of the i-th parameter within the observation time window duration Δt, and γ i is the impact factor of the i-th parameter fault, which is set through expert experience, and γ max is the maximum impact factor of the i-th parameter fault, which is obtained through machine learning based on actual production data.

[0054] This fault trend risk assessment method comprehensively considers the change rate, change amplitude and potential impact of fault parameters, and can predict and warn of the equipment fault trend in advance. By detecting the change amount Δx i and change rate of each parameter in real time within the observation time window combined with the fault score F i and the impact factor γ i , it can comprehensively evaluate the fault risk. The impact factor γ i is set through expert experience and continuously optimized from actual production data through machine learning, further improving the accurate prediction ability of the fault trend. It can effectively identify and quantify the potential fault risks of equipment. Especially before the equipment fails, it can predict the occurrence trend of the fault, so as to take preventive measures in advance, reduce equipment damage, and improve the stability and safety of the disinfection device. In addition, the fault trend risk score can also help optimize the equipment maintenance and maintenance strategy, ensure that the disinfection device operates in an efficient and reliable state, improve the overall equipment management level, and reduce the operation cost.

[0055] It should be noted that in the fault analysis module, the fault coupling score evaluates the potential coupling risk of faults by analyzing the correlation relationship between parameters. The formula for the fault coupling score is as follows:

[0056]

[0057] In the formula: l is the fault analysis parameter index of non-i-th parameter, and μ il is the coupling weight between the i-th parameter and the l-th parameter, which is obtained from the coupling weight matrix modeled based on the monitoring data, and F l is the fault score of the l-th parameter.

[0058] This fault coupling score method evaluates the potential coupling risk of faults through the correlation relationship between multiple parameters, and can effectively identify and warn of the chain faults that may be caused by each parameter in the system. The coupling weight μ in the formulail is determined by modeling based on monitoring data, reflecting the degree of mutual influence between different parameters, and the fault score F i and F l reflect the current fault status of each parameter. By performing weighted calculations on the coupling effects between various parameters, it is possible to accurately predict the impacts on other relevant parameters and the resulting chain reactions when a fault occurs, thereby identifying potential fault risks. The core advantage of this method lies in its ability to reveal the multi-parameter coupling effects caused by a single fault event, anticipate the overall fault trend of the system in advance, and thus avoid more serious problems caused by the neglect of a single fault. Through real-time monitoring and coupling analysis, the fault coupling score can not only enhance the overall understanding of complex system faults but also contribute to targeted preventive measures and optimized maintenance strategies, improving the reliability and stability of the disinfection device and reducing equipment damage or disinfection failure caused by the spread of faults. Through the fault coupling score, more intelligent and accurate fault prediction and fault management can be achieved, significantly enhancing the operating efficiency and safety of the equipment.

[0059] It should be noted that, as Figure 2 shown, in the data processing unit, the process of retrieving the preset knowledge base of cardiovascular medical devices to obtain the disinfection methods and conditions for the devices is as follows:

[0060] Step 11, data collection and identification: The device identification module reads the RFID tag data of the device and identifies it;

[0061] Step 12, device classification and matching: Receive the RFID tag data of the device, match the corresponding disinfection method according to the type and material of the device, and obtain the required disinfectant concentration, disinfectant temperature, and gas disinfection concentration according to the disinfection method;

[0062] Step 13, count the number of devices: Count the number of devices under each disinfection method and transmit the data to the disinfectant supply system, temperature adjustment module, air flow adjustment module, and fault analysis module.

[0063] The data composition of the device RFID tag includes the following parts to support the accurate identification, classification, and disinfection method matching of the device:

[0064] Unique device identifier (UID): This is the most basic information in the RFID tag, which is a unique combination of numbers or letters that can uniquely identify each device. This identifier ensures that each device can be accurately tracked and identified throughout the disinfection process;

[0065] Device name: It contains the name information of the device, such as "heart valve replacement forceps", "balloon catheter", etc., which helps the system understand the type and purpose of the device;

[0066] Type of instrument: Specify the type of instrument, such as scalpel, catheter, needle holder, etc. This is crucial for the selection of disinfection methods, as different types of instruments have different disinfection requirements;

[0067] Material information: Include the material data of the instrument, such as stainless steel, plastic, rubber, ceramic, etc. Different materials of instruments are suitable for different disinfection methods (liquid disinfection, gas disinfection, chemical disinfection, etc.);

[0068] Usage status / history: Record the usage history of the instrument, including the last disinfection time, whether it has been disinfected, the number of uses, etc., which helps the system determine whether the instrument needs to be disinfected immediately or can be reused;

[0069] Disinfection requirements: Include information such as the disinfection temperature, disinfectant concentration, disinfection method (liquid, gas, chemical, etc.) of the instrument. These parameters are usually provided by the manufacturer of medical devices and are stored in the RFID tag of the instrument to ensure the accurate execution of the disinfection process;

[0070] Expiry date or service life: Record the effective service life of the instrument or the information that requires regular maintenance, which helps manage the usage cycle and replacement timing of the instrument;

[0071] Disinfection level or requirements of the instrument: The disinfection level required for some high-risk medical devices (such as heart valves, pacemaker components) is transmitted to the disinfection system through the RFID tag to ensure that high-risk instruments are properly processed;

[0072] Production batch information: This information usually includes the production date, batch number, etc. of the instrument, which is convenient for tracing the production source of the instrument and the integrity of the disinfection records.

[0073] After the data contained in this RFID tag is recognized, the preset knowledge base of cardiovascular medical devices retrieves more detailed disinfection methods and disinfection conditions for this instrument, and its content includes:

[0074] I. Disinfection methods:

[0075] (1) Chemical disinfection: Suitable for metal instruments (such as scissors, pliers, needle holders, etc.), usually disinfected by soaking in chemical disinfectants (such as hydrogen peroxide, glutaraldehyde, etc.). These instruments need to be thoroughly cleaned to remove chemical residues.

[0076] (2) Liquid disinfection: Suitable for certain plastic or catheter-like instruments (such as balloon catheters, guide wires, etc.), usually using liquid disinfectants, with a short disinfection time and capable of efficiently processing a large number of instruments.

[0077] (3) Gas disinfection: Suitable for heat-sensitive instruments (such as intracardiac electrodes, ultrasound probes, etc.), commonly used ethylene oxide (EO) gas or hydrogen peroxide vapor, etc. It can complete disinfection under low-temperature conditions, avoiding damage to the instruments caused by high-temperature liquids.

[0078] (4) Steam disinfection (high-temperature and high-pressure disinfection): Suitable for high-temperature-resistant metal instruments and some plastic instruments that can withstand high temperatures. Common disinfection methods include using high-pressure steam (such as autoclaving) for disinfection.

[0079] (5) Ultraviolet disinfection: Used for instruments with relatively low surface disinfection requirements, especially suitable for the surface of instruments after disinfection.

[0080] II. Disinfection conditions:

[0081] Disinfectant concentration: Specify the optimal concentration of the disinfectant used. For example, the concentration of the disinfectant using glutaraldehyde may need to be between 0.2% and 2%. Too high or too low a concentration will affect the disinfection effect.

[0082] Disinfectant temperature: The temperature of the disinfectant has an important impact on the disinfection effect. Some disinfectants will reach the best effect at specific temperatures. For example, liquid disinfectants have the best disinfection effect in the temperature range of 30°C to 45°C.

[0083] Disinfection time: The disinfection time under each disinfection method needs to be precisely controlled to ensure the disinfection effect.

[0084] Gas concentration: For ethylene oxide gas disinfection, the gas concentration (such as the EO concentration between 450 and 1000 mg / L) is crucial for the disinfection effect. Too high or too low will affect the disinfection efficiency.

[0085] Airflow rate and regulation: In the gas disinfection chamber, the uniformity and rate of the airflow (such as the air flow rate per minute) have an important impact on the disinfection effect. The airflow regulation module can ensure that the gas fully penetrates the surface of the instrument during disinfection.

[0086] Gas disinfection time: When performing gas disinfection, a specific gas exposure time needs to be set to ensure that the disinfectant effectively penetrates and inactivates all germs.

[0087] Temperature control: For temperature control in liquid and gas disinfection methods (such as the temperature control module adjusts the temperature of the disinfection tank or gas chamber), it can ensure the optimal temperature range during the disinfection process, thereby ensuring the disinfection effect and avoiding damage to the instruments.

[0088] Humidity control: Some disinfection methods require humidity control. For example, in ethylene oxide disinfection, humidity has a certain impact on the disinfection efficiency and needs to be maintained within the specified range.

[0089] III. Disinfection Cycle and Reuse Limitation:

[0090] Disinfection cycle: It refers to the number of times an instrument or instruments of the same type can be repeatedly disinfected within a certain period. If an instrument is disinfected too many times, its structure or function will be affected. Therefore, it is necessary to set the maximum disinfection cycle for each instrument.

[0091] Durability assessment: For some special instruments, the chemicals or high temperature during the disinfection process will affect the durability or performance of the instruments. Therefore, the disinfection knowledge base also needs to evaluate the wear or performance degradation of each instrument after multiple disinfections.

[0092] IV. Disinfection Standards and Monitoring:

[0093] Disinfection standards: Specify the disinfection conditions that meet international or industry standards, such as ISO, EN standards, etc., to ensure that the disinfection effect meets the requirements of clinical use.

[0094] Disinfection effect monitoring: It includes the use of equipment such as microbial culture tests, chemical indicators, temperature sensors, etc., to monitor the effect of the disinfection process and ensure the safety of the instruments after disinfection.

[0095] It should be noted that in the fault analysis module, the fault rule base includes but is not limited to fault diagnosis rules, fault type classification, fault impact assessment, fault repair and warning strategies, and multi-parameter coupling rules. The fault analysis parameters include but are not limited to the temperature of the disinfectant and disinfection gas, the pressure of the gas disinfection chamber, the flow rate and circulation volume of the disinfectant, the current and voltage of the electrical equipment included in each component, the data of the temperature sensor, and the operation duration.

[0096] It should be noted that as Figure 3 shown, in the fault analysis module, the process of obtaining the fault coupling score based on the fuzzy logic model analysis includes:

[0097] Step 21, input parameter definition: Pre-define and collect the real-time data of the fault parameters in the system and their coupling relationships;

[0098] Step 22, fuzzification: Convert the numerical value of each fault parameter into a fuzzy variable, use the membership function of the fault parameter to map the numerical value of the fault parameter to the corresponding fuzzy set, and use the technical function of the coupling relationship to map the coupling relationship to the fuzzy set;

[0099] Step 23, fuzzy reasoning: Through the fuzzy reasoning mechanism, infer the input fuzzy data and the rule base to obtain the coupling score;

[0100] Step 24, defuzzification: Convert the fuzzy reasoning result into a specific numerical score using the weighted average method;

[0101] Step 25, Output result: Output a fault coupling score with a numerical range between [0, 1].

[0102] It should be noted that the disinfectant supply system retrieves the unit liquid demand coefficient, the number of devices, and the standard circulation time for each liquid disinfection of the cardiovascular medical devices according to the cardiovascular medical device knowledge base, and obtains the adjusted disinfectant supply flow based on the loss flow of the disinfectant in the circulation system. The formula for the adjusted disinfectant supply flow is:

[0103]

[0104] In the formula: Q is the adjusted disinfectant supply flow, j is the number of cardiovascular medical devices that require liquid disinfection, C j is the unit liquid demand coefficient of the jth type of device, m is the total number of cardiovascular medical devices that require liquid disinfection, obtained by retrieving the cardiovascular medical device knowledge base, V j is the number of the jth type of device, obtained by the RFID identification module, t cycle is the standard circulation time for each liquid disinfection, obtained by retrieving the cardiovascular medical device knowledge base, Q loss is the loss flow of the disinfectant in the circulation system, which is an experimentally calibrated value.

[0105] The disinfectant supply system accurately calculates and adjusts the disinfectant supply flow by combining the unit liquid demand coefficient, the number of devices, and the standard circulation time for each liquid disinfection retrieved from the cardiovascular medical device knowledge base with the loss flow of the disinfectant in the circulation system, so as to ensure that each type of device obtains sufficient liquid volume during the disinfection process, while considering the liquid loss in the system, optimizing the disinfection process, ensuring the disinfection effect while improving the use efficiency of the disinfectant, reducing resource waste, and ensuring the high efficiency and accuracy of the disinfection process.

[0106] It should be noted that in the temperature adjustment module, the heating power is dynamically adjusted according to the liquid disinfection requirements of the devices and the temperature variable of the actual disinfection tank. The adjustment formula for the heating power is:

[0107]

[0108] In the formula: P heat is the heating power of the temperature adjustment module, M is the total mass of the current disinfectant in the disinfection tank, calculated based on the liquid volume in the current disinfection tank and the disinfectant density, C p is the specific heat capacity of the disinfectant, determined by experiment, T target is the target temperature of the disinfection tank set according to the current disinfection requirements, obtained by retrieving the cardiovascular medical device knowledge base, T currentis the real-time temperature of the liquid in the current disinfection tank, obtained by monitoring with a temperature sensor, η is the heating efficiency, obtained by experimental calibration, and t heat is the time required to reach the target temperature, set according to the disinfection process.

[0109] This heating power adjustment formula precisely adjusts the heating power by real-time monitoring of the temperature change of the liquid in the disinfection tank and combining with the total mass, specific heat capacity, target temperature, heating efficiency, and required heating time of the disinfectant solution, ensuring that the disinfectant solution quickly and stably reaches the set target temperature within the specified time, thus meeting the disinfection requirements of different instruments, avoiding poor disinfection effects or energy waste caused by too high or too low temperatures, improving the efficiency and accuracy of the disinfection process, and at the same time ensuring the efficient use of energy and the safety of the disinfectant solution.

[0110] It should be noted that in the air flow adjustment module, the circulation speed of the disinfection gas in the gas disinfection chamber is adaptively adjusted according to the number of instruments to be gas disinfected, the target disinfection concentration, the equipment solvent, and the disinfection time. The output frequency adjustment formula of the gas adjustment module is:

[0111]

[0112] In the formula: f is the output frequency of the air flow adjustment module, used to adjust the circulation speed of the disinfection gas, k is the index of the instrument to be gas disinfected, h is the total number of instruments to be gas disinfected, C k is the unit gas demand concentration coefficient of the kth instrument to be gas disinfected, V k is the number of the kth instrument to be gas disinfected, obtained by the instrument identification module, σ is the air flow adjustment efficiency, preset by the equipment, V eff is the effective volume of the gas disinfection chamber, set according to the design parameters of the gas disinfection chamber, t dis is the target disinfection time, obtained by retrieving from the knowledge base of cardiovascular medical devices.

[0113] The present invention intelligently adjusts the circulating flow rate of the disinfectant solution and the flow rate of the disinfection gas, automatically adapts to the materials and disinfection requirements of different instruments, thereby greatly improving the disinfection efficiency, ensuring the comprehensiveness and effectiveness of disinfection coverage, and being able to monitor the disinfection process in real time, avoiding the residue and reuse of the disinfectant solution, improving the utilization efficiency of the disinfectant solution, reducing resource waste. Based on the principles of physical fluid dynamics and the disinfectant distribution model, combined with the specific characteristics of cardiovascular medicine instruments, it automatically adjusts the disinfection mode according to the instrument type and disinfection requirements, making the disinfection process more intelligent and personalized. Through continuous monitoring and data feedback of the disinfection process, it can evaluate the disinfection effect in real time during the disinfection process, automatically adjust parameters to maximize the disinfection efficiency, and ensure the recycling of the disinfectant solution. It can adaptively adjust the temperature and concentration of the disinfectant solution according to the actual operating environment to meet the requirements under different disinfection conditions, improving the flexibility and efficiency of the entire disinfection process. Through intelligent control, the disinfection device can achieve precise, personalized and efficient operation, significantly improving the safety, reliability and maintainability of the disinfection of cardiovascular surgery instruments, and further promoting the modernization and intelligentization of hospital infection control technology.

[0114] The above is only the specific implementation manner of the present application, but the protection scope of the present application is not limited thereto. Any person skilled in the art within the technical scope disclosed by the present application can easily think of changes or substitutions, which should all be covered within the protection scope of the present application. Therefore, the protection scope of the present application should be subject to the protection scope of the claims.

[0115] Finally, the above is only the preferred embodiment of the present invention and is not used to limit the present invention. Any modifications, equivalent substitutions, improvements, etc. made within the spirit and principle of the present invention shall be included within the protection scope of the present invention.

Claims

1. A disinfection device, comprising a disinfection body, characterized in that: The disinfection body includes an instrument identification module, a liquid disinfection tank and an ultrasonic module located in the liquid disinfection tank. The other side of the ultrasonic module is connected to a temperature adjustment module, and the temperature adjustment module is connected to a temperature sensor. A gas disinfection chamber is provided on one side of the liquid disinfection tank. An instrument identification module is provided between the liquid disinfection tank and the gas disinfection chamber. The instrument identification module is connected to a data processing unit, and the data processing unit is connected to a fault analysis module. The gas disinfection chamber includes a chamber cover, a chamber body and an airflow adjustment module. The liquid disinfection tank is connected to a disinfectant supply system and a disinfectant circulation system. The instrument identification module identifies the type and number of instruments that need to be disinfected based on RFID technology, and transmits the data to the data processing unit. The data processing unit retrieves and outputs the disinfection method and disinfection conditions of the identified instruments according to a preset knowledge base of cardiology medical instruments. , and the number of instruments for each disinfection method is counted. The disinfectant supply system automatically adjusts the disinfectant supply flow rate according to the number of instruments that need liquid disinfection. The temperature adjustment module adaptively adjusts the heating power according to the disinfection conditions of the instruments that need liquid disinfection. The airflow adjustment module automatically adjusts the output frequency according to the number of instruments that need gas disinfection. The fault analysis module identifies faults based on the preset fault rule library and proposes recommended adjustment measures. It outputs the fault score of each parameter based on real-time data and deviation, outputs the fault trend risk score based on the parameter change rate, and outputs the fault coupling score based on the fuzzy logic model. The weighted sum of the fault score, fault trend risk score, and fault coupling score of each parameter is used to evaluate the fault severity score of the disinfection subject. The formula for the fault severity score is: Where: S is the fault severity score, i is the parameter index, n is the total number of parameters, ω i is the weight of the i-th fault parameter, determined by the hierarchical analysis method, F i is the fault score of the ith parameter, obtained based on real-time data and deviation, T risk The failure trend risk score is obtained based on the parameter change rate, P interdep is the fault coupling score, which is obtained based on the fuzzy logic model analysis. α and β are the fault trend influencing factor and fault coupling influencing factor, respectively, which are obtained by fitting the experimental data.

2. A disinfection device according to claim 1, characterized in that: The disinfectant supply system obtains the adjusted disinfectant supply flow rate based on the loss flow of the disinfectant in the circulation system according to the unit liquid demand coefficient of the identification device, the number of devices, and the standard cycle time of each liquid disinfection output by the cardiology medical device knowledge base retrieval, and the adjusted disinfectant supply flow rate is: Where: Q is the adjusted disinfectant supply flow rate, j is the number of cardiology medical devices that require liquid disinfection, C j is the unit liquid requirement coefficient of the jth type of device, m is the total number of cardiology medical devices that require liquid disinfection, which is obtained by searching the cardiology medical device knowledge base, and V j is the number of the jth type of equipment, obtained through the RFID identification module, t cycle The standard cycle time for each liquid disinfection was obtained by searching the knowledge base of cardiology medical devices. loss is the loss flow of disinfectant in the circulation system, which is the experimental calibration value.

3. A disinfection device according to claim 1, characterized in that: In the temperature regulation module, the heating power is dynamically adjusted according to the liquid disinfection requirements of the equipment and the temperature variables of the actual disinfection tank. The heating power adjustment formula is: Where: P heat is the heating power of the temperature regulating module, M is the total mass of the current disinfectant in the disinfection tank, which is calculated based on the current liquid volume in the disinfection tank and the density of the disinfectant, C p is the specific heat capacity of the disinfectant, determined experimentally, T target The target temperature of the disinfection tank set according to the current disinfection demand is obtained by searching the knowledge base of cardiology medical devices. current is the real-time temperature of the liquid in the disinfection tank, which is obtained by monitoring the temperature sensor, η is the heating efficiency, which is obtained by experimental calibration, and t heat The time required to reach the target temperature is set according to the disinfection process.

4. A disinfection device according to claim 1, characterized in that: In the air flow regulation module, the circulation speed of the disinfection gas in the gas disinfection chamber is adaptively adjusted according to the number of instruments that need gas disinfection, the target disinfection concentration, the equipment solvent and the disinfection time. The output frequency adjustment formula of the gas regulation module is: Where: f is the output frequency of the airflow regulation module, which is used to adjust the circulation speed of the disinfection gas, k is the index of the device that needs gas disinfection, h is the total number of devices that need gas disinfection, C k is the unit gas demand concentration coefficient of the kth device that needs gas disinfection, V k is the number of the kth device that needs gas disinfection, obtained through the device identification module, σ is the airflow regulation efficiency, preset by the device, V eff is the effective volume of the gas disinfection chamber, which is set according to the design parameters of the gas disinfection chamber, t dis The target disinfection time was obtained by searching the knowledge base of cardiology medical devices.

5. A disinfection device according to claim 1, characterized in that: In the fault analysis module, the fault score of the i-th parameter is obtained based on the factual data deviation and the fault rule base, and is expressed by the degree to which the parameter deviates from the set value in the current state. The formula for the fault score of the i-th parameter is: Where: x i is the real-time monitoring value of the i-th parameter, is the reference value of the normal operation of the ith parameter, obtained through the fault rule base, are the maximum and minimum allowed values ​​of the ith parameter, respectively, obtained through the fault rule base.

6. A disinfection device according to claim 5, characterized in that: In the fault analysis module, the fault trend risk score combines the change rate, change range and potential impact of the fault parameters to warn of the fault trend risk. The fault trend risk formula is: Where: Δt is the duration of the observation window, Δx i is the change of the i-th parameter within the observation window length Δt, γ i is the influencing factor of the i-th parameter failure, set by expert experience, γ max is the maximum influencing factor of the i-th parameter failure, which is obtained by machine learning based on actual production data.

7. A disinfection device according to claim 1, characterized in that: In the fault analysis module, the fault coupling score evaluates the potential coupling risk of the fault by analyzing the correlation between parameters. The formula for the fault coupling score is: Where: l is the fault analysis parameter index of the non-i-th parameter, μ il is the coupling weight between the ith parameter and the lth parameter, obtained based on the coupling weight matrix determined by monitoring data modeling, F l is the fault score for the lth parameter.

8. A disinfection device according to claim 1, characterized in that: In the data processing unit, the process of searching the preset knowledge base of cardiology medical devices to obtain the disinfection methods and conditions of the devices is as follows: Step 11, data collection and identification: the device identification module reads the RFID tag data of the device and identifies it; Step 12, equipment classification and matching: receiving equipment RFID tag data, matching the corresponding disinfection method according to the type and material of the equipment, and obtaining the required disinfectant concentration, disinfectant temperature, and gas disinfection concentration according to the disinfection method; Step 13, counting the number of instruments: counting the number of instruments in each disinfection mode, and transmitting the data to the disinfectant supply system, the temperature adjustment module, the airflow adjustment module, and the fault analysis module.

9. A disinfection device according to claim 1, characterized in that: In the fault analysis module, the fault rule library includes but is not limited to fault diagnosis rules, fault type classification, fault impact assessment, fault repair and early warning strategies, and multi-parameter coupling rules. The fault analysis parameters include but are not limited to the temperature of the disinfectant and disinfectant gas, the pressure of the gas disinfection chamber, the flow rate and circulation volume of the disinfectant, the current and voltage of the electrical equipment included in each component, the data of the temperature sensor, and the operating time.

10. A disinfection device according to claim 1, characterized in that: In the fault analysis module, the process of obtaining fault coupling scores based on fuzzy logic model analysis includes: Step 21, input parameter definition: pre-define and collect real-time data of fault parameters in the system and the coupling relationship between them; Step 22, fuzzification processing: convert the value of each fault parameter into a fuzzy variable, use the membership function of the fault parameter to map the value of the fault parameter to the corresponding fuzzy set, and use the technical function of the coupling relationship to map the coupling relationship to the fuzzy set; Step 23, fuzzy reasoning: through the fuzzy reasoning mechanism, the input fuzzy data and rule base are reasoned to obtain the coupling score; Step 24, defuzzification: convert the fuzzy reasoning results into specific numerical scores using the weighted average method; Step 25, output result: output the fault coupling score in the value range [0, 1].

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